US20100041962A1 - Flexible headset for sensing brain electrical activity - Google Patents
Flexible headset for sensing brain electrical activity Download PDFInfo
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- US20100041962A1 US20100041962A1 US12/190,232 US19023208A US2010041962A1 US 20100041962 A1 US20100041962 A1 US 20100041962A1 US 19023208 A US19023208 A US 19023208A US 2010041962 A1 US2010041962 A1 US 2010041962A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/377—Electroencephalography [EEG] using evoked responses
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/25—Bioelectric electrodes therefor
- A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
- A61B5/291—Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6814—Head
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/16—Details of sensor housings or probes; Details of structural supports for sensors
- A61B2562/164—Details of sensor housings or probes; Details of structural supports for sensors the sensor is mounted in or on a conformable substrate or carrier
Definitions
- the present disclosure relates to a flexible headset, and specifically, to a flexible headset for sensing brain electrical activity.
- CT computed tomography imaging
- MRI magnetic resonance imaging
- PET positron emission tomography
- SPECT single photon emission computerized tomography
- CT and MRI may only detect the condition after the morphology or structure of the brain has changed. In some cases it can take from hours to days after the patient is present in an emergency room (ER) before overt changes are evident on the CT or MRI, and before severe neurological pathology is visible. Electrical activity of the brain, however, is affected immediately.
- EEG electroencephalogram
- Evoked potentials are particular waves that have characteristic shapes, amplitudes, durations of peaks within the wave shapes, and many other features, all of which have well established normative data generated over decades of research. Normative data for all of the EEG and evoked response waves are remarkably constant across different genders, ages, and ethnicities. Moreover, any variability that does exist is well described and explained.
- EEG electrocardiogram
- An irregular brain wave pattern is a strong indication of a particular brain pathology.
- a wide array of pathologies have been well characterized: acute and chronic, structural, toxic, metabolic, and even specific diagnoses such as: ischemic stroke, epileptic seizures, concussion, alcohol, and drug overdose, psychiatric conditions, and dementias including Alzheimer's disease.
- EEG-based neurometric technology is accepted today and a tremendous body of data exists, application in the clinical environment is notably limited.
- standard EEG equipment includes an array of electrodes that is placed onto the scalp of a patient.
- the array usually includes 19 or more electrodes that are placed directly onto the scalp of the patient (often with a conductive gel or paste) or fitted onto the patient using a cap or net.
- Applying the array of electrodes, each with its own lead wire can be tedious and time consuming.
- the wires of the electrodes can also easily become tangled and may interfere with other operations.
- some equipment used for evoking potentials e.g., strobe lights, etc.
- current EEG equipment and electrode arrays are often not practical for the ER, operating room (OR), intensive care unit (ICU), first response situations, sporting events, or other settings and situations.
- the current disclosure is directed to overcoming one or more of the aforementioned problems.
- a headset for detecting brain electrical activity.
- the headset may include a flexible band having a first end and a second end.
- the flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary.
- the headset may also include flexible circuitry in the flexible band.
- the flexible circuitry may be operatively connected to at least one sensor configured to sense brain electrical activity.
- the headset may further include a stimulus emitter coupled to the flexible band.
- the present disclosure provides for another headset for detecting brain electrical activity.
- the headset may include a flexible band having a first end and a second end.
- the flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary.
- the headset may also include flexible circuitry in the flexible band.
- the circuitry may be operatively connected to at least one sensor configured to sense brain electrical activity.
- the headset may further include at least two securing devices coupled to the flexible band, wherein the at least two securing devices are configured to secure the headset in place by anchoring to a subject's ears.
- the present disclosure additionally provides for a device for detecting brain electrical activity.
- the device may include a base unit.
- the device may also include a headset that communicates with the base unit.
- the headset may include a band composed of flexible material, the band including at least one expansible region.
- the headset may also include flexible circuitry in the band, the flexible circuitry including at least one sensor.
- the headset may further include a stimulus emitter coupled to the band.
- the present disclosure also provides for a headset for detecting brain electrical activity.
- the headset may include a band composed of stretchable material.
- the band may have a first end and a second end.
- the band may permit a distance between the first end and the second end to selectably vary.
- the headset may also include flexible circuitry integrated into the band and operatively connected to at least one sensor configured to sense brain electrical activity.
- the present disclosure provides for another headset for detecting brain electrical activity.
- the headset may include a flexible band having a first end and a second end.
- the flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary.
- the headset may be composed of an electrically conductive material.
- the headset may also include at least one sensor associated with the headset and configured to sense brain electrical activity.
- FIG. 1 shows an exemplary embodiment of the disclosed BxTM brain assessment system
- FIGS. 2A , 2 B, and 2 C show a headset that may be used with the brain assessment system of FIG. 1 ;
- FIG. 3 shows a plurality of layers that may comprise the headset of FIG. 2 ;
- FIG. 4 shows exemplary circuitry that may be included in the headset of FIG. 2 ;
- FIG. 5 shows another view of the headset of FIG. 4 ;
- FIG. 6 shows another embodiment of the headset, including exemplary circuitry.
- FIG. 7 shows strengthening members that may be used with the headsets of FIGS. 1-6 .
- FIG. 8 shows an exemplary method for use of the brain assessment system of FIG. 1 .
- FIG. 1 shows a BxTM brain assessment system 10 .
- Brain assessment system 10 may be configured to assess a brain-state of a patient or subject and may include a base unit 12 , which can be handheld, and a headset 14 configured to communicate brain electrical activity with base unit 12 .
- headset 14 and base unit 12 may come in a kit.
- the kit may be designed for performing neurological triage of a patient.
- the kit may include instructions for using base unit 12 and a portable carrying case.
- Base unit 12 may be a device configured to analyze, communicate, save, and/or display brain electrical activity data.
- Base unit 12 may be sized to fit in one's hand.
- Base unit 12 may include a display 16 , such as an LCD screen.
- Base unit 12 may also include and a user interface 18 .
- User interface 18 may embody, for example, a touch screen interface, a keyboard, a voice activated interface, or any other user interface known in the art.
- base unit 12 may include a pulse oximeter 20 for monitoring the patient's pulse and blood oxygen levels.
- Base unit 12 may contain appropriate hardware for analyzing, communicating, saving, and/or displaying data.
- base unit 12 may include a processor, a memory, a power source (e.g., a battery), and a multi-channel input/output interface.
- Base unit 12 may also include signal amplification circuitry, signal filtering circuitry, A/D conversion circuitry, and/or any other appropriate circuitry known in the art.
- the data received and analyzed by base unit 12 may include signals indicative of brain electrical activity received from headset 14 .
- Base unit 12 may also include appropriate software.
- Base unit 12 may include, for example, a graphical user interface (GUI) and an analysis application designed to analyze brain electrical activity data.
- GUI graphical user interface
- the analysis application may use one or more algorithms to extract and/or organize key signal features of the brain data to identify and classify brain dysfunctions.
- the dysfunctions may include, for example, seizure, ischemic stroke, elevated intracranial pressure, hematoma, concussion/contusion, dementia, and depression.
- the algorithms may use fractal mathematics and nonlinear signal processing to identify and classify brain electrical signals to aid in diagnosis of brain states or conditions.
- Base unit 12 may communicate with headset 14 via one or more communications lines and/or wirelessly. Base unit 12 also may communicate via communication lines and/or wirelessly with an external computer 22 , a printer 24 , or an external memory 26 (e.g., external hard drive, flash-memory device, optical drive, floppy drive, or any other non-volatile memory). It is contemplated that the wireless capabilities between base unit 12 and other components of brain assessment system 10 , including headset 14 , may be short range (e.g., Bluetooth®, Wi-Fi, IR, etc.) and/or long range (e.g., cellular, satellite, etc.).
- short range e.g., Bluetooth®, Wi-Fi, IR, etc.
- long range e.g., cellular, satellite, etc.
- Headset 14 may include a plurality of sensing devices, such as a pulse oximeter 20 , a temperature sensor 21 , and a near infra-red spectroscopy device 23 . It is contemplated that pulse oximeter 20 associated with headset 14 may have at least two wavelengths or more. Temperature sensor 21 may embody a thermocouple, a resistive sensor, or any other type of temperature sensor known in the art. Near infra-red spectroscopy device 23 may include a CCD or thermal camera.
- pulse oximeter 20 , temperature sensor 21 , and near infra-red spectroscopy device 23 may be integrated into a band potion 30 of headset 14 , or alternatively, may be independent units connected to headset 14 via communication lines or via wireless means.
- near infra-red spectroscopy device 23 may be a small unit tethered to headset 14 that can be applied to the subject's scalp.
- Headset 14 may also include a display 25 .
- Display 25 may embody a LCD display or an LED strip. It is contemplated that display 25 may display results of analysis, senor readings, or other information received from base unit 12 .
- headset 14 may be a device configured for use on the head of a human patient. It is contemplated that headset 14 may also be used with other mammalian subjects. Headset 14 may include two securing devices 31 . One securing device 31 may be located at a first end of band portion 30 and the other securing device 31 may be located at a second end of band portion 30 . Band portion 30 may be placed on or affixed to the forehead of the subject. Each securing device 31 of headset 14 may fit behind an ear of the subject and anchor to the ear of the subject, thus securing band portion 30 to the forehead of the subject. Headset may also include a connector 54 that allows communication between headset 14 and base unit 12 . It is contemplated that headset 14 may be a disposable or a reusable device.
- headset 14 may be composed of one or more layers 32 . It is contemplated that each layer 32 may be composed of a flexible material to allow headset 14 to conform to varying head geometries. All layers may be flexible to allow for use on subjects having heads of varying diameter. For human subjects, it is contemplated that adult and pediatric sizes may be available, for example. Layers 32 may include, for example, an outer layer 34 , a substrate layer 36 , a dielectric layer 38 , an inner layer 40 , and an adhesive layer 42 .
- Outer layer 34 may provide protection and/or support for headset 14 . It is contemplated that outer layer 34 may be composed of medical foam, plastic, flexible composite, or other materials known in the art. Outer layer 34 may attach to substrate layer 36 in any appropriate manner, such as chemical or mechanical bonding (e.g., rivet, adhesive, etc.).
- Substrate layer 36 may be the layer upon which circuitry 44 (see FIG. 4 ) of headset 14 is located.
- Substrate layer 36 may be composed of polyamide (e.g., Kapton®), polyester, aramid, or any other flexible substrate material. It is contemplated that circuitry 44 may be printed, etched, or bonded onto substrate layer 36 .
- Circuitry 44 (see FIG. 4 ) may be composed of an electrically conductive material, such as, for example, copper, silver, silver-chloride, gold, tin, or any other conductive material or combination of materials known in the art. Circuitry 44 may also include any appropriate finish known in the art.
- Substrate layer 36 and circuitry 44 may be covered by dielectric layer 38 .
- Dielectric layer 38 may cover and help electrically insulate circuitry 44 .
- Dielectric layer 38 may be composed of polyamide, polyester, aramid, or other dielectric composites or materials known in the art.
- Dielectric layer 38 may be bonded to substrate layer 36 and circuitry 44 using, for example, heat and/or adhesive bonding.
- Dielectric layer 38 may alternatively embody a cover coat that is screen printed and cured onto substrate layer 36 and circuitry 44 .
- Inner layer 40 may provide protection and/or support for headset 14 . It is contemplated that inner layer 40 may be composed of medical foam, plastic, flexible composites, or other materials known in the art. Inner layer 40 may attach to dielectric layer 38 in any appropriate manner, such as chemical or mechanical bonding (e.g., rivet, adhesive, etc.).
- An adhesive layer 42 may be applied to an exterior side 46 (i.e., side that contacts a subject's forehead) of inner layer 40 .
- Adhesive layer 42 may cover all of exterior side 46 , or alternatively, only discrete portions of exterior side 46 .
- Adhesive layer 42 may allow headset 14 to attach and adhere to the forehead of a subject. It is contemplated that adhesive layer 42 may embody any appropriate medical adhesive, such as, for example, a silicon or synthetic rubber adhesive on a double sided medical tape.
- Exterior side 46 of adhesive layer 42 may be covered with a removable protective paper or covering. The paper or covering may protect adhesive layer 42 until headset 14 is applied to a subject.
- one or more of layers 34 , 36 , 38 , and 40 may alternatively be composed of a stretchable material.
- the stretchable material may include, for example, rubber, silicone, or polyurethane.
- circuitry 44 may utilize, for example, a meandering configuration in order to accommodate the use of stretchable materials.
- Headset 14 may also be composed of one or more electrically conductive materials, such as, for example, conductive fibers.
- the conductive fibers may be rigid or flexible.
- headset 14 may include features, such as expansible regions 47 , that allow headset 14 to fit a wide range of subject head geometries.
- Expansible regions 47 may be regions of headset 14 that allow expansion and/or contraction of headset 14 in its longitudinal dimension (i.e., allows a distance between the first and second ends of band portion 30 to selectably vary).
- expansible regions 47 may embody flexures or corrugations 48 in headset 14 . When a longitudinal tensile force is applied to headset 14 , each flexure or corrugation 48 may expand, thus allowing headset 14 to increase its length to accommodate a given head geometry. Similarly, a compression force may cause flexures or corrugations 48 to contract and reduce the length of headset 14 .
- Expansible regions 47 may also embody a serpentine, a meandering, or a zig-zag construction.
- Layers 32 and circuitry 44 may be composed of generally flexible materials so that headset 14 can conform to various head geometries. A better and closer fit of headset 14 to various head geometries may improve subject comfort and signal quality of the sensed brain electrical activity.
- Headset 14 may also be configured to stimulate and/or sense brain electrical activity data of a subject. As shown in FIG. 4 , headset 14 may include circuitry 44 . Specifically, headset 14 may include a plurality of sensors 50 , a stimulus emitter 52 , and a connector 54 .
- Sensors 50 may be devices configured to sense brain electrical activity.
- sensors 50 may embody electrodes configured to sense electrical currents created by synaptic potentials.
- Each sensor 50 may include an electrically conductive trace 56 that attaches to connector 54 . It is contemplated that a terminal end of each sensor 50 may include a node 58 .
- Each node 58 may embody, for example, a substantially flat metallic disc.
- Node 58 and conductive trace 56 may be composed of any appropriate electrically conductive material, such as, for example, copper, silver, gold, tin, or any other appropriate material known in the art.
- one or more of sensors 50 may be disposable while the remaining portion of headset 14 may be reusable.
- sensors 50 may include a right peripheral sensor 62 , a right temple sensor 64 , a right forehead sensor 66 , an upper middle forehead sensor 68 , a lower middle forehead sensor 70 , a left forehead sensor 72 , a left temple sensor 74 , and a left peripheral sensor 76 . It is contemplated that any of sensors 50 may be a ground. Peripheral sensors 62 and 76 may be configured to be located at the subject's earlobes (i.e., left and right earlobe sensor) or mastoids (i.e., left and right mastoid sensor). It is further contemplated that sensors 50 may include two sets of peripheral sensors 62 and 76 , one set configured to be located at the subject's earlobes, and one set configured to be located at the subject's mastoids.
- Stimulus emitter 52 may be a device configured to evoke a response from the subject.
- Stimulus emitter 52 may embody, for example, a piezoelectric transducer or a speaker.
- Stimulus emitter 52 may be configured to be located at, in, over, or near a subject's ear.
- Base unit 12 may send a signal to stimulus emitter 52 that causes stimulus emitter 52 to produce an auditory stimulus.
- the auditory stimulus may evoke a response from the brain of the subject that is recorded using headset 14 .
- other stimulus emitters may additionally or alternatively be used with headset 14 , such as, for example, visual devices, sensory devices, or other devices known in the art.
- Connector 54 may allow headset 14 to connect and communicate with base unit 12 . Specifically, connector 54 may allow signals to be communicated between base unit 12 and sensors 50 . Connector 54 may also allow signals to be communicated between base unit 12 and stimulus emitter 52 . In one embodiment, connector 54 may be a male or female-type connector that mates to a connector of base unit 12 . It is contemplated that connector 54 may alternatively embody a wireless connector, such as, for example, an RF antenna or an IR emitter/receiver.
- FIG. 6 shows an additional embodiment of headset 14 . It is contemplated that the embodiment shown in FIG. 6 may include all or substantially all of the components of the embodiment of headset 14 shown in FIGS. 1-5 .
- headset 14 may also include strengthening members 78 .
- Headset 14 may include a first strengthening member 80 and a second strengthening member 82 .
- Strengthening members 78 may be embedded between layers 32 (e.g., between outer layer 34 and substrate layer 36 ) or within layers 32 .
- each first strengthening member 80 may embody a single continuous band or wire that passes through securing device 31 and terminates near the end of stimulus emitter 52 (it is contemplated that each first strengthening member 80 may alternatively comprise multiple segments).
- First strengthening member 80 may be configured to reinforce securing device 31 .
- First strengthening member 80 may also allow for stimulus emitter 52 to be securely positioned over the subjects ear canal.
- first strengthening member 80 may be composed of a resilient material in order to securely position stimulus emitter 52 over the subjects ear canal when headset 14 is in position.
- first strengthening member 80 may be composed of a deformable material that allows for first strengthening member 80 to be positioned over the subject's ear canal.
- First strengthening member 80 may be composed of plastic, metal, or any other appropriate material known in the art.
- first strengthening member 80 may be composed of an aluminum wire.
- Each second strengthening member 82 may embody a thin tab located in headset 14 at or near left and right peripheral sensors 62 and 76 .
- Second strengthening member 82 may be composed of plastic, metal, or any other appropriate material known in the art.
- second strengthening member 82 may embody a thin aluminum tab. Since each second strengthening member 82 may be composed of rigid yet deformable material, each second strengthening member 82 may be folded around the back of the subject's earlobes in order to secure left and right peripheral sensors 62 and 76 to the subject's ears.
- FIG. 8 shows an exemplary operation and use of brain assessment system 10 , which is further described in U.S. patent application Ser. No. 11/195,001, which is incorporated by reference herein in its entirety.
- the protective paper or covering Prior to placing headset 14 on the subject, the protective paper or covering may be removed from adhesive layer 42 . Headset 14 may then be placed on the forehead of the subject (step 110 ), allowing adhesive layer 42 to adhere to the forehead of the subject.
- Each securing device 31 may be placed behind an ear of the subject. It is contemplated that the placing securing devices 31 behind the ears of the subject may cause expansible regions 47 to stretch or compress as necessary to accommodate the head geometry of the subject.
- the flexible materials used in the manufacturing of layers 32 may allow headset 14 to conform to the head geometry of the subject.
- Headset 14 may then be connected to base unit 12 (if not already connected).
- the connection may involve a physical connection and/or a wireless connection between headset 14 and base unit 12 .
- a command entered through user interface 18 may begin a test routine (step 120 ).
- the test routine may involve base unit 12 sending a signal to stimulus emitter 52 to produce a stimulus (step 130 ).
- the stimulus may embody, for example, an auditory stimulus produced using a piezoelectric speaker. It is contemplated that the auditory stimulus may be given to the subject to obtain an Auditory Evoked Potential (AEP).
- AEP Auditory Evoked Potential
- the Auditory Evoked Potentials may comprise auditory brainstem response (ABR) potentials, auditory mid-latency response (AMLR) potentials, and/or auditory late response (ALR) potentials, including P100 responses, and P300 responses.
- ABR auditory brainstem response
- AMLR auditory mid-latency response
- ALR auditory late response
- P100 responses including P100 responses, and P300 responses.
- base unit 12 may communicate with headset 14 to gather brain electrical activity data (step 130 ).
- the brain electrical activity data may include the evoked response to the stimulus, spontaneous activity, or a combination thereof.
- the brain electrical activity data may be processed (step 140 ) using the hardware and software of base unit 12 .
- artifacts may be removed from the data. Artifacts may be a result of such factors as a disconnected electrode, electromyogram (EMG) artifacts resulting from muscular movement, eye movement, and other significant artifacts.
- EMG electromyogram
- the artifacts may be removed by removing discrete artifact sections from the signals.
- the artifacts may be removed by subtracting out any artifacts present in the acquired signals.
- the artifact-free signals may be further processed by extracting statistical signal features.
- a quantitative EEG algorithm may be used to extract features.
- a wavelet packet algorithm may be used for feature extraction.
- spectral analysis and statistical procedures may be performed to extract features.
- diffusion geometric analysis may be performed to extract features.
- microstate analysis may be performed to extract features.
- wavelet-packet local discriminant basis algorithms may be applied to extract features.
- the extracted features may be classified according to one or more diagnostic categories (step 150 ). During classification, a probability that features extracted from a subject can be classified in one or more diagnostic categories is determined. Classifying may be performed by applying discriminant analysis to the extracted features, or by applying wavelet-packets to the extracted features.
- Brain assessment system 10 may then determine if the results are normal (step 160 ). If the features extracted from the subject's brain waves are normal, then the device may display that the subject's brain activity is normal (step 220 ). If there is a higher probability that the subject's extracted features are not normal, brain assessment system 10 may determine if the extracted features can be classified as an emergency or “Alert” condition (step 170 ).
- An emergency condition may include a brainstem dysfunction, seizure, stroke, DAI, or elevated intracranial pressure. If there is a high probability that an emergency condition exists, brain assessment system 10 may alert the user (step 180 ). Brain assessment system 10 may alert the user using any appropriate audio, visual, or sensory means (e.g., flashing light, flashing text, buzzer, vibration, wireless transmission to other device, etc.).
- Brain assessment system 10 may determine if the abnormality of the extracted features appears to be organic in nature (step 190 ). If the extracted features are determined to correlate with an extracted feature abnormality that is organic in nature, the device may then attempt to determine if the extracted feature abnormality is lateral or global in nature (step 200 ). Brain assessment system 10 may also determine if the extracted features have a high probability of indicating a psychiatric or “functional” problem (step 210 ).
- Base unit 12 may output results concerning the assessment of subject's brain in accordance with the classification (step 220 ). It is contemplated that brain assessment system 10 may output the results in real time. Output may be displayed on display 16 , saved to internal or external memory 26 , displayed or saved to external computer 22 , and/or printed using printer 24 . It is contemplated that the probability that the subject belongs to a particular diagnostic category can be displayed on display 16 . For example, in a scenario where the subject is most likely exhibiting an organic, lateral abnormality, display 16 may display, for example, that subject's brain function is 80% indicative of a hemorrhagic stroke, 15% indicative of an ischemic stroke, and 5% of a subdural hematoma.
- base unit 12 may be located on headset 14 .
- base unit 12 and headset 14 may be integrated into a single headset unit with an onboard power source (e.g., a battery).
- headset 14 may include a chip with code such that base unit 12 may identify and authenticate headset 14 upon or after connection to base unit 12 .
- the chip may include, for example, a unique identifier.
- the disclosed brain assessment system and method may provide several advantages. Specifically, the flexible and expandable design of the disclosed headset may allow for quick and easy placement of the headset on a wide array of subject head geometries. Furthermore, the flexible materials used in the disclosed headset may allow the headset to conform more closely to the subject's head, thus improving sensor measurements.
- the disclosed headset may also include a “built-in” stimulus device allowing for easy measurement of evoked potentials in a variety of situations (e.g., emergency room, ICU, sporting events), thus helping improve diagnosis and care for victims of head injury and neurological maladies.
Abstract
Description
- The present disclosure relates to a flexible headset, and specifically, to a flexible headset for sensing brain electrical activity.
- The central nervous system (CNS), and the brain in particular, perform some of the most complex and essential processes in the human body. In many cases, however, contemporary health care lacks sophisticated tools to objectively assess brain function. A patient's mental and neurological status is typically assessed clinically by an interview and a physical exam. A typical clinical laboratory currently has no capacity to assess brain function or pathology.
- Brain imaging technologies, such as computed tomography imaging (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and single photon emission computerized tomography (SPECT) are widely used and useful, however, these technologies are limited in their ability to provide information about brain function, especially at the early stages of acute care situations. These limitations may be especially significant after trauma has occurred because the brain can require immediate attention to avoid further deterioration.
- Many current imaging technologies, when used immediately following an acute brain injury, stroke, diffuse axonal injury (DAI), or seizure, may not reveal any abnormality in the brain even when there is dramatically abnormal brain function. CT and MRI may only detect the condition after the morphology or structure of the brain has changed. In some cases it can take from hours to days after the patient is present in an emergency room (ER) before overt changes are evident on the CT or MRI, and before severe neurological pathology is visible. Electrical activity of the brain, however, is affected immediately.
- All of the brain's activity, whether reflexive, automatic, unconscious, or conscious, is electrical in nature. Through a series of electrochemical reactions, mediated by molecules called neurotransmitters, electrical potentials (voltages) are generated and transmitted throughout the brain, traveling continuously between and among a myriad of neurons. This activity establishes the basic electrical signatures of the electroencephalogram (EEG) and creates identifiable frequencies that have a basis in anatomic structure and function. Understanding these basic rhythms and their significance makes it possible to characterize the EEG as being within or beyond normal limits. At this basic level, the EEG serves as a signature for both normal and abnormal brain function.
- The electrical activity of the brain has been studied extensively for decades, and especially since the advent of computers. “Normal” electrical activity of the brain has been well characterized in hundreds of studies, with a narrow standard deviation. The electrical activity of some parts of the brain that is a normal response to certain stimuli, such as acoustic, visual, or sensory stimuli, is known as an “evoked potential.” Evoked potentials (EP) are particular waves that have characteristic shapes, amplitudes, durations of peaks within the wave shapes, and many other features, all of which have well established normative data generated over decades of research. Normative data for all of the EEG and evoked response waves are remarkably constant across different genders, ages, and ethnicities. Moreover, any variability that does exist is well described and explained.
- Neuroscientists have also characterized the EEG signature of various different brain pathologies. Just as an abnormal electrocardiogram (ECG) pattern is a strong indication of a particular heart pathology, an irregular brain wave pattern is a strong indication of a particular brain pathology. A wide array of pathologies have been well characterized: acute and chronic, structural, toxic, metabolic, and even specific diagnoses such as: ischemic stroke, epileptic seizures, concussion, alcohol, and drug overdose, psychiatric conditions, and dementias including Alzheimer's disease. A large body of data, with continuing refinements and contributions, constitutes the field of clinical neurophysiology.
- Even though EEG-based neurometric technology is accepted today and a tremendous body of data exists, application in the clinical environment is notably limited. For example, standard EEG equipment includes an array of electrodes that is placed onto the scalp of a patient. The array usually includes 19 or more electrodes that are placed directly onto the scalp of the patient (often with a conductive gel or paste) or fitted onto the patient using a cap or net. Applying the array of electrodes, each with its own lead wire, can be tedious and time consuming. The wires of the electrodes can also easily become tangled and may interfere with other operations. Furthermore, some equipment used for evoking potentials (e.g., strobe lights, etc.) may be too bulky or may be inappropriate for certain situations. Thus, current EEG equipment and electrode arrays are often not practical for the ER, operating room (OR), intensive care unit (ICU), first response situations, sporting events, or other settings and situations.
- The current disclosure is directed to overcoming one or more of the aforementioned problems.
- Consistent with the present disclosure, there is provided a headset for detecting brain electrical activity. The headset may include a flexible band having a first end and a second end. The flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary. The headset may also include flexible circuitry in the flexible band. The flexible circuitry may be operatively connected to at least one sensor configured to sense brain electrical activity. The headset may further include a stimulus emitter coupled to the flexible band.
- The present disclosure provides for another headset for detecting brain electrical activity. The headset may include a flexible band having a first end and a second end. The flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary. The headset may also include flexible circuitry in the flexible band. The circuitry may be operatively connected to at least one sensor configured to sense brain electrical activity. The headset may further include at least two securing devices coupled to the flexible band, wherein the at least two securing devices are configured to secure the headset in place by anchoring to a subject's ears.
- The present disclosure additionally provides for a device for detecting brain electrical activity. The device may include a base unit. The device may also include a headset that communicates with the base unit. The headset may include a band composed of flexible material, the band including at least one expansible region. The headset may also include flexible circuitry in the band, the flexible circuitry including at least one sensor. The headset may further include a stimulus emitter coupled to the band.
- The present disclosure also provides for a headset for detecting brain electrical activity. The headset may include a band composed of stretchable material. The band may have a first end and a second end. The band may permit a distance between the first end and the second end to selectably vary. The headset may also include flexible circuitry integrated into the band and operatively connected to at least one sensor configured to sense brain electrical activity.
- The present disclosure provides for another headset for detecting brain electrical activity. The headset may include a flexible band having a first end and a second end. The flexible band may include at least one expansible region permitting a distance between the first end and the second end to selectably vary. The headset may be composed of an electrically conductive material. The headset may also include at least one sensor associated with the headset and configured to sense brain electrical activity.
- It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the claims.
- The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure.
-
FIG. 1 shows an exemplary embodiment of the disclosed Bx™ brain assessment system; -
FIGS. 2A , 2B, and 2C show a headset that may be used with the brain assessment system ofFIG. 1 ; -
FIG. 3 shows a plurality of layers that may comprise the headset ofFIG. 2 ; -
FIG. 4 shows exemplary circuitry that may be included in the headset ofFIG. 2 ; -
FIG. 5 shows another view of the headset ofFIG. 4 ; and -
FIG. 6 shows another embodiment of the headset, including exemplary circuitry. -
FIG. 7 shows strengthening members that may be used with the headsets ofFIGS. 1-6 . -
FIG. 8 shows an exemplary method for use of the brain assessment system ofFIG. 1 . -
FIG. 1 shows a Bx™brain assessment system 10.Brain assessment system 10 may be configured to assess a brain-state of a patient or subject and may include abase unit 12, which can be handheld, and aheadset 14 configured to communicate brain electrical activity withbase unit 12. In one embodiment,headset 14 andbase unit 12 may come in a kit. The kit may be designed for performing neurological triage of a patient. The kit may include instructions for usingbase unit 12 and a portable carrying case. -
Base unit 12 may be a device configured to analyze, communicate, save, and/or display brain electrical activity data.Base unit 12 may be sized to fit in one's hand.Base unit 12 may include adisplay 16, such as an LCD screen.Base unit 12 may also include and auser interface 18.User interface 18 may embody, for example, a touch screen interface, a keyboard, a voice activated interface, or any other user interface known in the art. In one embodiment,base unit 12 may include apulse oximeter 20 for monitoring the patient's pulse and blood oxygen levels. -
Base unit 12 may contain appropriate hardware for analyzing, communicating, saving, and/or displaying data. For example,base unit 12 may include a processor, a memory, a power source (e.g., a battery), and a multi-channel input/output interface.Base unit 12 may also include signal amplification circuitry, signal filtering circuitry, A/D conversion circuitry, and/or any other appropriate circuitry known in the art. The data received and analyzed bybase unit 12 may include signals indicative of brain electrical activity received fromheadset 14. -
Base unit 12 may also include appropriate software.Base unit 12 may include, for example, a graphical user interface (GUI) and an analysis application designed to analyze brain electrical activity data. It is contemplated that the analysis application may use one or more algorithms to extract and/or organize key signal features of the brain data to identify and classify brain dysfunctions. The dysfunctions may include, for example, seizure, ischemic stroke, elevated intracranial pressure, hematoma, concussion/contusion, dementia, and depression. The algorithms may use fractal mathematics and nonlinear signal processing to identify and classify brain electrical signals to aid in diagnosis of brain states or conditions. -
Base unit 12 may communicate withheadset 14 via one or more communications lines and/or wirelessly.Base unit 12 also may communicate via communication lines and/or wirelessly with anexternal computer 22, aprinter 24, or an external memory 26 (e.g., external hard drive, flash-memory device, optical drive, floppy drive, or any other non-volatile memory). It is contemplated that the wireless capabilities betweenbase unit 12 and other components ofbrain assessment system 10, includingheadset 14, may be short range (e.g., Bluetooth®, Wi-Fi, IR, etc.) and/or long range (e.g., cellular, satellite, etc.). -
Headset 14 may include a plurality of sensing devices, such as apulse oximeter 20, atemperature sensor 21, and a near infra-red spectroscopy device 23. It is contemplated thatpulse oximeter 20 associated withheadset 14 may have at least two wavelengths or more.Temperature sensor 21 may embody a thermocouple, a resistive sensor, or any other type of temperature sensor known in the art. Near infra-red spectroscopy device 23 may include a CCD or thermal camera. It is contemplated thatpulse oximeter 20,temperature sensor 21, and near infra-red spectroscopy device 23 may be integrated into aband potion 30 ofheadset 14, or alternatively, may be independent units connected toheadset 14 via communication lines or via wireless means. In one embodiment, near infra-red spectroscopy device 23 may be a small unit tethered toheadset 14 that can be applied to the subject's scalp. -
Headset 14 may also include adisplay 25.Display 25 may embody a LCD display or an LED strip. It is contemplated thatdisplay 25 may display results of analysis, senor readings, or other information received frombase unit 12. - As shown in
FIGS. 2A , 2B, and 2C,headset 14 may be a device configured for use on the head of a human patient. It is contemplated thatheadset 14 may also be used with other mammalian subjects.Headset 14 may include two securingdevices 31. Onesecuring device 31 may be located at a first end ofband portion 30 and the other securingdevice 31 may be located at a second end ofband portion 30.Band portion 30 may be placed on or affixed to the forehead of the subject. Each securingdevice 31 ofheadset 14 may fit behind an ear of the subject and anchor to the ear of the subject, thus securingband portion 30 to the forehead of the subject. Headset may also include aconnector 54 that allows communication betweenheadset 14 andbase unit 12. It is contemplated thatheadset 14 may be a disposable or a reusable device. - As shown in
FIG. 3 ,headset 14 may be composed of one or more layers 32. It is contemplated that eachlayer 32 may be composed of a flexible material to allowheadset 14 to conform to varying head geometries. All layers may be flexible to allow for use on subjects having heads of varying diameter. For human subjects, it is contemplated that adult and pediatric sizes may be available, for example.Layers 32 may include, for example, anouter layer 34, asubstrate layer 36, adielectric layer 38, aninner layer 40, and anadhesive layer 42. -
Outer layer 34 may provide protection and/or support forheadset 14. It is contemplated thatouter layer 34 may be composed of medical foam, plastic, flexible composite, or other materials known in the art.Outer layer 34 may attach tosubstrate layer 36 in any appropriate manner, such as chemical or mechanical bonding (e.g., rivet, adhesive, etc.). -
Substrate layer 36 may be the layer upon which circuitry 44 (seeFIG. 4 ) ofheadset 14 is located.Substrate layer 36 may be composed of polyamide (e.g., Kapton®), polyester, aramid, or any other flexible substrate material. It is contemplated thatcircuitry 44 may be printed, etched, or bonded ontosubstrate layer 36. Circuitry 44 (seeFIG. 4 ) may be composed of an electrically conductive material, such as, for example, copper, silver, silver-chloride, gold, tin, or any other conductive material or combination of materials known in the art.Circuitry 44 may also include any appropriate finish known in the art.Substrate layer 36 andcircuitry 44 may be covered bydielectric layer 38. -
Dielectric layer 38 may cover and help electrically insulatecircuitry 44.Dielectric layer 38 may be composed of polyamide, polyester, aramid, or other dielectric composites or materials known in the art.Dielectric layer 38 may be bonded tosubstrate layer 36 andcircuitry 44 using, for example, heat and/or adhesive bonding.Dielectric layer 38 may alternatively embody a cover coat that is screen printed and cured ontosubstrate layer 36 andcircuitry 44. -
Inner layer 40, similar toouter layer 34, may provide protection and/or support forheadset 14. It is contemplated thatinner layer 40 may be composed of medical foam, plastic, flexible composites, or other materials known in the art.Inner layer 40 may attach todielectric layer 38 in any appropriate manner, such as chemical or mechanical bonding (e.g., rivet, adhesive, etc.). - An
adhesive layer 42 may be applied to an exterior side 46 (i.e., side that contacts a subject's forehead) ofinner layer 40.Adhesive layer 42 may cover all ofexterior side 46, or alternatively, only discrete portions ofexterior side 46.Adhesive layer 42 may allowheadset 14 to attach and adhere to the forehead of a subject. It is contemplated thatadhesive layer 42 may embody any appropriate medical adhesive, such as, for example, a silicon or synthetic rubber adhesive on a double sided medical tape.Exterior side 46 ofadhesive layer 42 may be covered with a removable protective paper or covering. The paper or covering may protectadhesive layer 42 untilheadset 14 is applied to a subject. - It is contemplated that one or more of
layers circuitry 44 may utilize, for example, a meandering configuration in order to accommodate the use of stretchable materials. -
Headset 14 may also be composed of one or more electrically conductive materials, such as, for example, conductive fibers. The conductive fibers may be rigid or flexible. - As shown in
FIGS. 4 and 5 ,headset 14 may include features, such asexpansible regions 47, that allowheadset 14 to fit a wide range of subject head geometries.Expansible regions 47 may be regions ofheadset 14 that allow expansion and/or contraction ofheadset 14 in its longitudinal dimension (i.e., allows a distance between the first and second ends ofband portion 30 to selectably vary). In one embodiment,expansible regions 47 may embody flexures orcorrugations 48 inheadset 14. When a longitudinal tensile force is applied toheadset 14, each flexure orcorrugation 48 may expand, thus allowingheadset 14 to increase its length to accommodate a given head geometry. Similarly, a compression force may cause flexures orcorrugations 48 to contract and reduce the length ofheadset 14.Expansible regions 47 may also embody a serpentine, a meandering, or a zig-zag construction.Layers 32 andcircuitry 44 may be composed of generally flexible materials so thatheadset 14 can conform to various head geometries. A better and closer fit ofheadset 14 to various head geometries may improve subject comfort and signal quality of the sensed brain electrical activity. -
Headset 14 may also be configured to stimulate and/or sense brain electrical activity data of a subject. As shown inFIG. 4 ,headset 14 may includecircuitry 44. Specifically,headset 14 may include a plurality ofsensors 50, astimulus emitter 52, and aconnector 54. -
Sensors 50 may be devices configured to sense brain electrical activity. For example,sensors 50 may embody electrodes configured to sense electrical currents created by synaptic potentials. Eachsensor 50 may include an electricallyconductive trace 56 that attaches toconnector 54. It is contemplated that a terminal end of eachsensor 50 may include anode 58. Eachnode 58 may embody, for example, a substantially flat metallic disc.Node 58 andconductive trace 56 may be composed of any appropriate electrically conductive material, such as, for example, copper, silver, gold, tin, or any other appropriate material known in the art. In one embodiment, one or more ofsensors 50 may be disposable while the remaining portion ofheadset 14 may be reusable. - In an illustrative embodiment,
sensors 50 may include a rightperipheral sensor 62, aright temple sensor 64, aright forehead sensor 66, an uppermiddle forehead sensor 68, a lowermiddle forehead sensor 70, aleft forehead sensor 72, aleft temple sensor 74, and a leftperipheral sensor 76. It is contemplated that any ofsensors 50 may be a ground.Peripheral sensors sensors 50 may include two sets ofperipheral sensors -
Stimulus emitter 52 may be a device configured to evoke a response from the subject.Stimulus emitter 52 may embody, for example, a piezoelectric transducer or a speaker.Stimulus emitter 52 may be configured to be located at, in, over, or near a subject's ear.Base unit 12 may send a signal tostimulus emitter 52 that causesstimulus emitter 52 to produce an auditory stimulus. The auditory stimulus may evoke a response from the brain of the subject that is recorded usingheadset 14. It is contemplated that other stimulus emitters may additionally or alternatively be used withheadset 14, such as, for example, visual devices, sensory devices, or other devices known in the art. -
Connector 54 may allowheadset 14 to connect and communicate withbase unit 12. Specifically,connector 54 may allow signals to be communicated betweenbase unit 12 andsensors 50.Connector 54 may also allow signals to be communicated betweenbase unit 12 andstimulus emitter 52. In one embodiment,connector 54 may be a male or female-type connector that mates to a connector ofbase unit 12. It is contemplated thatconnector 54 may alternatively embody a wireless connector, such as, for example, an RF antenna or an IR emitter/receiver. -
FIG. 6 shows an additional embodiment ofheadset 14. It is contemplated that the embodiment shown inFIG. 6 may include all or substantially all of the components of the embodiment ofheadset 14 shown inFIGS. 1-5 . - As shown in
FIG. 7 ,headset 14 may also include strengtheningmembers 78.Headset 14 may include a first strengtheningmember 80 and asecond strengthening member 82. Strengtheningmembers 78 may be embedded between layers 32 (e.g., betweenouter layer 34 and substrate layer 36) or within layers 32. - As shown in
FIG. 7 , each first strengtheningmember 80 may embody a single continuous band or wire that passes through securingdevice 31 and terminates near the end of stimulus emitter 52 (it is contemplated that each first strengtheningmember 80 may alternatively comprise multiple segments). First strengtheningmember 80 may be configured to reinforce securingdevice 31. First strengtheningmember 80 may also allow forstimulus emitter 52 to be securely positioned over the subjects ear canal. For example, first strengtheningmember 80 may be composed of a resilient material in order to securely positionstimulus emitter 52 over the subjects ear canal whenheadset 14 is in position. Alternatively, first strengtheningmember 80 may be composed of a deformable material that allows for first strengtheningmember 80 to be positioned over the subject's ear canal. First strengtheningmember 80 may be composed of plastic, metal, or any other appropriate material known in the art. In one embodiment, first strengtheningmember 80 may be composed of an aluminum wire. - Each second strengthening
member 82 may embody a thin tab located inheadset 14 at or near left and rightperipheral sensors member 82 may be composed of plastic, metal, or any other appropriate material known in the art. In one embodiment, second strengtheningmember 82 may embody a thin aluminum tab. Since each second strengtheningmember 82 may be composed of rigid yet deformable material, each second strengtheningmember 82 may be folded around the back of the subject's earlobes in order to secure left and rightperipheral sensors -
FIG. 8 shows an exemplary operation and use ofbrain assessment system 10, which is further described in U.S. patent application Ser. No. 11/195,001, which is incorporated by reference herein in its entirety. Prior to placingheadset 14 on the subject, the protective paper or covering may be removed fromadhesive layer 42.Headset 14 may then be placed on the forehead of the subject (step 110), allowingadhesive layer 42 to adhere to the forehead of the subject. Each securingdevice 31 may be placed behind an ear of the subject. It is contemplated that theplacing securing devices 31 behind the ears of the subject may causeexpansible regions 47 to stretch or compress as necessary to accommodate the head geometry of the subject. Furthermore, the flexible materials used in the manufacturing oflayers 32 may allowheadset 14 to conform to the head geometry of the subject. -
Headset 14 may then be connected to base unit 12 (if not already connected). The connection may involve a physical connection and/or a wireless connection betweenheadset 14 andbase unit 12. After connection, a command entered throughuser interface 18 may begin a test routine (step 120). The test routine may involvebase unit 12 sending a signal tostimulus emitter 52 to produce a stimulus (step 130). The stimulus may embody, for example, an auditory stimulus produced using a piezoelectric speaker. It is contemplated that the auditory stimulus may be given to the subject to obtain an Auditory Evoked Potential (AEP). The Auditory Evoked Potentials may comprise auditory brainstem response (ABR) potentials, auditory mid-latency response (AMLR) potentials, and/or auditory late response (ALR) potentials, including P100 responses, and P300 responses. Before, after, and/or during the activation ofstimulus emitter 52,base unit 12 may communicate withheadset 14 to gather brain electrical activity data (step 130). The brain electrical activity data may include the evoked response to the stimulus, spontaneous activity, or a combination thereof. - The brain electrical activity data may be processed (step 140) using the hardware and software of
base unit 12. During processing, artifacts may be removed from the data. Artifacts may be a result of such factors as a disconnected electrode, electromyogram (EMG) artifacts resulting from muscular movement, eye movement, and other significant artifacts. In one embodiment, the artifacts may be removed by removing discrete artifact sections from the signals. In another embodiment, the artifacts may be removed by subtracting out any artifacts present in the acquired signals. - The artifact-free signals may be further processed by extracting statistical signal features. In one embodiment consistent with the present invention, a quantitative EEG algorithm may be used to extract features. In another embodiment, a wavelet packet algorithm may be used for feature extraction. In a further embodiment, spectral analysis and statistical procedures may be performed to extract features. In yet a further embodiment, diffusion geometric analysis may be performed to extract features. In yet another embodiment, microstate analysis may be performed to extract features. In a further embodiment, wavelet-packet local discriminant basis algorithms may be applied to extract features.
- The extracted features may be classified according to one or more diagnostic categories (step 150). During classification, a probability that features extracted from a subject can be classified in one or more diagnostic categories is determined. Classifying may be performed by applying discriminant analysis to the extracted features, or by applying wavelet-packets to the extracted features.
-
Brain assessment system 10 may then determine if the results are normal (step 160). If the features extracted from the subject's brain waves are normal, then the device may display that the subject's brain activity is normal (step 220). If there is a higher probability that the subject's extracted features are not normal,brain assessment system 10 may determine if the extracted features can be classified as an emergency or “Alert” condition (step 170). An emergency condition may include a brainstem dysfunction, seizure, stroke, DAI, or elevated intracranial pressure. If there is a high probability that an emergency condition exists,brain assessment system 10 may alert the user (step 180).Brain assessment system 10 may alert the user using any appropriate audio, visual, or sensory means (e.g., flashing light, flashing text, buzzer, vibration, wireless transmission to other device, etc.). -
Brain assessment system 10 may determine if the abnormality of the extracted features appears to be organic in nature (step 190). If the extracted features are determined to correlate with an extracted feature abnormality that is organic in nature, the device may then attempt to determine if the extracted feature abnormality is lateral or global in nature (step 200).Brain assessment system 10 may also determine if the extracted features have a high probability of indicating a psychiatric or “functional” problem (step 210). -
Base unit 12 may output results concerning the assessment of subject's brain in accordance with the classification (step 220). It is contemplated thatbrain assessment system 10 may output the results in real time. Output may be displayed ondisplay 16, saved to internal orexternal memory 26, displayed or saved toexternal computer 22, and/or printed usingprinter 24. It is contemplated that the probability that the subject belongs to a particular diagnostic category can be displayed ondisplay 16. For example, in a scenario where the subject is most likely exhibiting an organic, lateral abnormality,display 16 may display, for example, that subject's brain function is 80% indicative of a hemorrhagic stroke, 15% indicative of an ischemic stroke, and 5% of a subdural hematoma. - It is contemplated that
base unit 12, or components thereof (e.g., processor,display 16,user interface 18, etc.), may be located onheadset 14. Thus, although shown as two separate units,base unit 12 andheadset 14 may be integrated into a single headset unit with an onboard power source (e.g., a battery). It is also contemplated thatheadset 14 may include a chip with code such thatbase unit 12 may identify and authenticateheadset 14 upon or after connection tobase unit 12. The chip may include, for example, a unique identifier. - The disclosed brain assessment system and method may provide several advantages. Specifically, the flexible and expandable design of the disclosed headset may allow for quick and easy placement of the headset on a wide array of subject head geometries. Furthermore, the flexible materials used in the disclosed headset may allow the headset to conform more closely to the subject's head, thus improving sensor measurements. The disclosed headset may also include a “built-in” stimulus device allowing for easy measurement of evoked potentials in a variety of situations (e.g., emergency room, ICU, sporting events), thus helping improve diagnosis and care for victims of head injury and neurological maladies.
- Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (56)
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Cited By (96)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090264785A1 (en) * | 2008-04-18 | 2009-10-22 | Brainscope Company, Inc. | Method and Apparatus For Assessing Brain Function Using Diffusion Geometric Analysis |
US20100186032A1 (en) * | 2009-01-21 | 2010-07-22 | Neurofocus, Inc. | Methods and apparatus for providing alternate media for video decoders |
US20100191139A1 (en) * | 2009-01-28 | 2010-07-29 | Brainscope, Inc. | Method and Device for Probabilistic Objective Assessment of Brain Function |
US20110047121A1 (en) * | 2009-08-21 | 2011-02-24 | Neurofocus, Inc. | Analysis of the mirror neuron system for evaluation of stimulus |
US20110046503A1 (en) * | 2009-08-24 | 2011-02-24 | Neurofocus, Inc. | Dry electrodes for electroencephalography |
US20110046473A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Eeg triggered fmri signal acquisition |
US20110087125A1 (en) * | 2009-10-09 | 2011-04-14 | Elvir Causevic | System and method for pain monitoring at the point-of-care |
US20110106621A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Intracluster content management using neuro-response priming data |
US20110105937A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110119129A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Advertisement exchange using neuro-response data |
US20110119124A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Multimedia advertisement exchange |
US20110144520A1 (en) * | 2009-12-16 | 2011-06-16 | Elvir Causevic | Method and device for point-of-care neuro-assessment and treatment guidance |
US20110172545A1 (en) * | 2008-10-29 | 2011-07-14 | Gregory Zlatko Grudic | Active Physical Perturbations to Enhance Intelligent Medical Monitoring |
US20110201962A1 (en) * | 2008-10-29 | 2011-08-18 | The Regents Of The University Of Colorado | Statistical, Noninvasive Measurement of Intracranial Pressure |
US20110215931A1 (en) * | 2009-10-01 | 2011-09-08 | Mc10, Inc. | Methods and apparatus for assessing head trauma based on conformal sensing of force and/or change in motion of a person's head |
WO2011112652A1 (en) * | 2010-03-10 | 2011-09-15 | Brainscope Company, Inc. | Method and device for removing eeg artifacts |
US20110224570A1 (en) * | 2010-03-10 | 2011-09-15 | Elvir Causevic | Method and apparatus for automatic evoked potentials assessment |
US20110237971A1 (en) * | 2010-03-25 | 2011-09-29 | Neurofocus, Inc. | Discrete choice modeling using neuro-response data |
EP2422697A1 (en) * | 2010-08-27 | 2012-02-29 | General Electric Company | Sensor for measuring biosignals |
US20120083688A1 (en) * | 2010-10-01 | 2012-04-05 | Purdue Research Foundation | Head injury diagnostics |
WO2012092559A1 (en) * | 2010-12-30 | 2012-07-05 | University Of Cincinnati | Apparatuses and methods for neurological status evaluation using electromagnetic signals |
US8270814B2 (en) | 2009-01-21 | 2012-09-18 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
WO2013012441A2 (en) * | 2011-07-21 | 2013-01-24 | Brian Kelleher | Method, system, and apparatus for cranial anatomy evaluation |
US8392250B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Neuro-response evaluated stimulus in virtual reality environments |
US8392251B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Location aware presentation of stimulus material |
US8396744B2 (en) | 2010-08-25 | 2013-03-12 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US20130079618A1 (en) * | 2011-09-26 | 2013-03-28 | Nellcor Puritan Bennett Llc | Technique for remanufacturing a bis sensor |
US8464288B2 (en) | 2009-01-21 | 2013-06-11 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US20130204153A1 (en) * | 2012-02-06 | 2013-08-08 | Emily Ruth Buzhardt | Generating an alarm based on brain wave patterns of a user |
US20130200268A1 (en) * | 2011-09-28 | 2013-08-08 | Mc10, Inc. | Electronics for detection of a property of a surface |
WO2013126798A3 (en) * | 2012-02-23 | 2013-12-27 | Bio-Signal Group Corp. | Shielded multi-channel eeg headset systems and methods |
US8655428B2 (en) | 2010-05-12 | 2014-02-18 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
US20140051945A1 (en) * | 2012-03-12 | 2014-02-20 | Terra Cotta Star Llc | Expanded frequency electroencephalography/electrocardiography light apparatus and method of use |
WO2014072582A1 (en) | 2012-11-12 | 2014-05-15 | Mega Electronics Ltd | Arrangement and method for carrying out electrode measurements |
WO2014137549A1 (en) * | 2013-03-08 | 2014-09-12 | Brainscope Company, Inc. | Electrode array and method of placement |
EP2814387A1 (en) * | 2012-01-18 | 2014-12-24 | BrainScope Company, Inc. | Method and device for multimodal neurological evaluation |
US8989835B2 (en) | 2012-08-17 | 2015-03-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US20150164362A1 (en) * | 2011-01-21 | 2015-06-18 | Fondamenta, Llc | Electrode for Attention Training Techniques |
EP2887693A1 (en) * | 2013-12-20 | 2015-06-24 | GN Store Nord A/S | A floating carrier assembly |
CN104902814A (en) * | 2012-10-12 | 2015-09-09 | 加利福尼亚大学董事会 | Configuration and spatial placement of frontal electrode sensors to detect physiological signals |
US20150327775A1 (en) * | 2011-05-13 | 2015-11-19 | Parace, Llc | Medical examination apparatus |
EP2976995A1 (en) * | 2014-07-23 | 2016-01-27 | Good Sleep, LLC | Diagnostic testing headband |
US9292858B2 (en) | 2012-02-27 | 2016-03-22 | The Nielsen Company (Us), Llc | Data collection system for aggregating biologically based measures in asynchronous geographically distributed public environments |
WO2016057553A1 (en) * | 2014-10-07 | 2016-04-14 | Masimo Corporation | Modular physiological sensors |
US9320450B2 (en) | 2013-03-14 | 2016-04-26 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9408575B2 (en) | 2009-04-29 | 2016-08-09 | Bio-Signal Group Corp. | EEG kit |
USD765259S1 (en) | 2015-02-19 | 2016-08-30 | Brainscope Company, Inc. | Ear attachment for medical headset |
US9451303B2 (en) | 2012-02-27 | 2016-09-20 | The Nielsen Company (Us), Llc | Method and system for gathering and computing an audience's neurologically-based reactions in a distributed framework involving remote storage and computing |
US9454646B2 (en) | 2010-04-19 | 2016-09-27 | The Nielsen Company (Us), Llc | Short imagery task (SIT) research method |
CN105997102A (en) * | 2016-05-10 | 2016-10-12 | 华南理工大学 | Wearable brain function detection device based on NIRS |
WO2016179272A1 (en) * | 2015-05-07 | 2016-11-10 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
USD773672S1 (en) | 2013-03-08 | 2016-12-06 | Brainscope Company, Inc. | Electrode headset |
WO2016200871A1 (en) * | 2015-06-08 | 2016-12-15 | Atentiv Llc | Functional eeg montage for cognitive skill development |
WO2016210357A1 (en) * | 2015-06-24 | 2016-12-29 | Regents Of The University Of California | Flexible, non-invasive real-time hematoma monitoring system using near-infrared spectroscopy |
US9569986B2 (en) | 2012-02-27 | 2017-02-14 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US20170071495A1 (en) * | 2013-04-22 | 2017-03-16 | Personal Neuro Devices Inc. | Methods and devices for brain activity monitoring supporting mental state development and training |
US9622702B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
WO2017083826A1 (en) * | 2015-11-13 | 2017-05-18 | Neurolutions, Inc. | Eeg headsets with precise and consistent electrode positioning |
US9757041B2 (en) | 2008-10-29 | 2017-09-12 | Flashback Technologies, Inc. | Hemodynamic reserve monitor and hemodialysis control |
US9886493B2 (en) | 2012-09-28 | 2018-02-06 | The Regents Of The University Of California | Systems and methods for sensory and cognitive profiling |
WO2018031756A1 (en) * | 2016-08-11 | 2018-02-15 | Charles River Analytics, Inc. | PORTABLE, DURABLE, RUGGED, FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (fNIRS) SENSOR |
US9936250B2 (en) | 2015-05-19 | 2018-04-03 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
GB2559984A (en) * | 2017-02-23 | 2018-08-29 | Plextek Services Ltd | Method, system, computer program and computer program product |
WO2018195497A1 (en) * | 2017-04-20 | 2018-10-25 | Gmeci, Llc | Human performance oxygen sensor |
US10127572B2 (en) | 2007-08-28 | 2018-11-13 | The Nielsen Company, (US), LLC | Stimulus placement system using subject neuro-response measurements |
US10140628B2 (en) | 2007-08-29 | 2018-11-27 | The Nielsen Company, (US), LLC | Content based selection and meta tagging of advertisement breaks |
US10258291B2 (en) | 2012-11-10 | 2019-04-16 | The Regents Of The University Of California | Systems and methods for evaluation of neuropathologies |
US10300240B2 (en) | 2015-05-07 | 2019-05-28 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
US10321840B2 (en) | 2009-08-14 | 2019-06-18 | Brainscope Company, Inc. | Development of fully-automated classifier builders for neurodiagnostic applications |
US10375464B2 (en) * | 2016-05-14 | 2019-08-06 | Qingdao GoerTeck Technology Co., Ltd. | Adjustable head-mounted structure |
CN110234273A (en) * | 2018-01-04 | 2019-09-13 | 英特埃克森有限公司 | Wearable computing devices |
US20190365272A1 (en) * | 2018-06-02 | 2019-12-05 | Seyedhesam Sadeghian-Motahar | Electrode array configuration on a flexible substrate for electro-oculogram recording |
US10506974B2 (en) | 2016-03-14 | 2019-12-17 | The Nielsen Company (Us), Llc | Headsets and electrodes for gathering electroencephalographic data |
US10580031B2 (en) | 2007-05-16 | 2020-03-03 | The Nielsen Company (Us), Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US10679241B2 (en) | 2007-03-29 | 2020-06-09 | The Nielsen Company (Us), Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US11076797B2 (en) | 2018-04-10 | 2021-08-03 | Cerenetex, Inc. | Systems and methods for the identification of medical conditions, and determination of appropriate therapies, by passively detecting acoustic signals from cerebral vasculature |
US11185230B2 (en) * | 2016-08-24 | 2021-11-30 | Raumedic Ag | Transmission apparatus for transmitting brain parameter sensor data |
US11244345B2 (en) | 2007-07-30 | 2022-02-08 | Nielsen Consumer Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US11272288B1 (en) * | 2018-07-19 | 2022-03-08 | Scaeva Technologies, Inc. | System and method for selective activation of an audio reproduction device |
US11273283B2 (en) | 2017-12-31 | 2022-03-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11364361B2 (en) | 2018-04-20 | 2022-06-21 | Neuroenhancement Lab, LLC | System and method for inducing sleep by transplanting mental states |
US11382571B2 (en) | 2008-10-29 | 2022-07-12 | Flashback Technologies, Inc. | Noninvasive predictive and/or estimative blood pressure monitoring |
US11395634B2 (en) | 2008-10-29 | 2022-07-26 | Flashback Technologies, Inc. | Estimating physiological states based on changes in CRI |
US11395594B2 (en) | 2008-10-29 | 2022-07-26 | Flashback Technologies, Inc. | Noninvasive monitoring for fluid resuscitation |
US11406269B2 (en) | 2008-10-29 | 2022-08-09 | Flashback Technologies, Inc. | Rapid detection of bleeding following injury |
US11452839B2 (en) | 2018-09-14 | 2022-09-27 | Neuroenhancement Lab, LLC | System and method of improving sleep |
US11481788B2 (en) | 2009-10-29 | 2022-10-25 | Nielsen Consumer Llc | Generating ratings predictions using neuro-response data |
US11478190B2 (en) | 2008-10-29 | 2022-10-25 | Flashback Technologies, Inc. | Noninvasive hydration monitoring |
WO2023031457A3 (en) * | 2021-09-06 | 2023-05-19 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Electrode arrangement for measuring biopotentials on a person's head |
US11704681B2 (en) | 2009-03-24 | 2023-07-18 | Nielsen Consumer Llc | Neurological profiles for market matching and stimulus presentation |
US11717686B2 (en) | 2017-12-04 | 2023-08-08 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to facilitate learning and performance |
US11717210B2 (en) | 2010-09-28 | 2023-08-08 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US11723579B2 (en) | 2017-09-19 | 2023-08-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
US11857293B2 (en) | 2008-10-29 | 2024-01-02 | Flashback Technologies, Inc. | Rapid detection of bleeding before, during, and after fluid resuscitation |
US11918386B2 (en) | 2018-12-26 | 2024-03-05 | Flashback Technologies, Inc. | Device-based maneuver and activity state-based physiologic status monitoring |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9101279B2 (en) * | 2006-02-15 | 2015-08-11 | Virtual Video Reality By Ritchey, Llc | Mobile user borne brain activity data and surrounding environment data correlation system |
US9417106B2 (en) * | 2012-05-16 | 2016-08-16 | Sony Corporation | Wearable computing device |
US10028694B2 (en) | 2014-11-25 | 2018-07-24 | Scienceplusplease, Llc | Non-invasive systems and methods to detect cortical spreading depression for the detection and assessment of brain injury and concussion |
WO2016205824A1 (en) | 2015-06-19 | 2016-12-22 | Neural Analytics, Inc. | Transcranial doppler probe |
US11589836B2 (en) | 2016-01-05 | 2023-02-28 | Novasignal Corp. | Systems and methods for detecting neurological conditions |
WO2017120361A1 (en) | 2016-01-05 | 2017-07-13 | Neural Analytics, Inc. | Integrated probe structure |
WO2017120388A1 (en) | 2016-01-05 | 2017-07-13 | Neural Analytics, Inc. | Systems and methods for determining clinical indications |
US10067565B2 (en) | 2016-09-29 | 2018-09-04 | Intel Corporation | Methods and apparatus for identifying potentially seizure-inducing virtual reality content |
US11272870B2 (en) | 2018-07-30 | 2022-03-15 | Hi Llc | Non-invasive systems and methods for detecting mental impairment |
US11006876B2 (en) | 2018-12-21 | 2021-05-18 | Hi Llc | Biofeedback for awareness and modulation of mental state using a non-invasive brain interface system and method |
WO2020205870A1 (en) | 2019-04-04 | 2020-10-08 | Hi Llc | Modulation of mental state of a user using a non-invasive brain interface system and method |
US11172869B2 (en) | 2019-04-26 | 2021-11-16 | Hi Llc | Non-invasive system and method for product formulation assessment based on product-elicited brain state measurements |
CN114007494A (en) | 2019-06-11 | 2022-02-01 | Hi有限责任公司 | Non-invasive system and method for detecting and modulating mental state of user through consciousness-initiated effect |
WO2021178298A1 (en) | 2020-03-04 | 2021-09-10 | Hi Llc | Systems and methods for training and using a neurome that emulates the brain of a user |
Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5341806A (en) * | 1991-04-18 | 1994-08-30 | Physio-Control Corporation | Multiple electrode strip |
US5479934A (en) * | 1991-11-08 | 1996-01-02 | Physiometrix, Inc. | EEG headpiece with disposable electrodes and apparatus and system and method for use therewith |
US5800351A (en) * | 1996-10-04 | 1998-09-01 | Rest Technologies, Inc. | Electrode supporting head set |
US6077237A (en) * | 1998-11-06 | 2000-06-20 | Adaboy, Inc. | Headset for vestibular stimulation in virtual environments |
US6128521A (en) * | 1998-07-10 | 2000-10-03 | Physiometrix, Inc. | Self adjusting headgear appliance using reservoir electrodes |
US6640130B1 (en) * | 1999-07-02 | 2003-10-28 | Hypermed, Inc. | Integrated imaging apparatus |
US20040073129A1 (en) * | 2002-10-15 | 2004-04-15 | Ssi Corporation | EEG system for time-scaling presentations |
US20040193068A1 (en) * | 2001-06-13 | 2004-09-30 | David Burton | Methods and apparatus for monitoring consciousness |
US20050059899A1 (en) * | 2003-09-17 | 2005-03-17 | Pekka Merilainen | Combined passive and active neuromonitoring method and device |
US20050107716A1 (en) * | 2003-11-14 | 2005-05-19 | Media Lab Europe | Methods and apparatus for positioning and retrieving information from a plurality of brain activity sensors |
US20070032737A1 (en) * | 2005-08-02 | 2007-02-08 | Elvir Causevic | Method for assessing brain function and portable automatic brain function assessment apparatus |
US7206630B1 (en) * | 2004-06-29 | 2007-04-17 | Cleveland Medical Devices, Inc | Electrode patch and wireless physiological measurement system and method |
US20070191727A1 (en) * | 2004-06-18 | 2007-08-16 | Neuronetrix, Inc. | Evoked response testing system for neurological disorders |
US7299088B1 (en) * | 2002-06-02 | 2007-11-20 | Nitish V Thakor | Apparatus and methods for brain rhythm analysis |
US20080091090A1 (en) * | 2006-10-12 | 2008-04-17 | Kenneth Shane Guillory | Self-contained surface physiological monitor with adhesive attachment |
US20090247894A1 (en) * | 2008-03-31 | 2009-10-01 | Brainscope Company, Inc. | Systems and Methods For Neurological Evaluation and Treatment Guidance |
USD603051S1 (en) * | 2008-07-18 | 2009-10-27 | BrainScope Company, Inc, | Flexible headset for sensing brain electrical activity |
USD641886S1 (en) * | 2010-03-10 | 2011-07-19 | Brainscope Company, Inc. | Flexible headset for sensing brain electrical activity |
USD647208S1 (en) * | 2011-01-06 | 2011-10-18 | Brainscope Company, Inc. | Flexible headset for sensing brain electrical activity |
US8391948B2 (en) * | 2005-09-23 | 2013-03-05 | Brainscope Company, Inc. | Electrode array |
-
2008
- 2008-08-12 US US12/190,232 patent/US8473024B2/en not_active Expired - Fee Related
Patent Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5341806A (en) * | 1991-04-18 | 1994-08-30 | Physio-Control Corporation | Multiple electrode strip |
US5479934A (en) * | 1991-11-08 | 1996-01-02 | Physiometrix, Inc. | EEG headpiece with disposable electrodes and apparatus and system and method for use therewith |
US5800351A (en) * | 1996-10-04 | 1998-09-01 | Rest Technologies, Inc. | Electrode supporting head set |
US6128521A (en) * | 1998-07-10 | 2000-10-03 | Physiometrix, Inc. | Self adjusting headgear appliance using reservoir electrodes |
US6077237A (en) * | 1998-11-06 | 2000-06-20 | Adaboy, Inc. | Headset for vestibular stimulation in virtual environments |
US6640130B1 (en) * | 1999-07-02 | 2003-10-28 | Hypermed, Inc. | Integrated imaging apparatus |
US20040193068A1 (en) * | 2001-06-13 | 2004-09-30 | David Burton | Methods and apparatus for monitoring consciousness |
US7299088B1 (en) * | 2002-06-02 | 2007-11-20 | Nitish V Thakor | Apparatus and methods for brain rhythm analysis |
US20040073129A1 (en) * | 2002-10-15 | 2004-04-15 | Ssi Corporation | EEG system for time-scaling presentations |
US20050059899A1 (en) * | 2003-09-17 | 2005-03-17 | Pekka Merilainen | Combined passive and active neuromonitoring method and device |
US20050107716A1 (en) * | 2003-11-14 | 2005-05-19 | Media Lab Europe | Methods and apparatus for positioning and retrieving information from a plurality of brain activity sensors |
US20070191727A1 (en) * | 2004-06-18 | 2007-08-16 | Neuronetrix, Inc. | Evoked response testing system for neurological disorders |
US7206630B1 (en) * | 2004-06-29 | 2007-04-17 | Cleveland Medical Devices, Inc | Electrode patch and wireless physiological measurement system and method |
US20070032737A1 (en) * | 2005-08-02 | 2007-02-08 | Elvir Causevic | Method for assessing brain function and portable automatic brain function assessment apparatus |
US8391948B2 (en) * | 2005-09-23 | 2013-03-05 | Brainscope Company, Inc. | Electrode array |
US20080091090A1 (en) * | 2006-10-12 | 2008-04-17 | Kenneth Shane Guillory | Self-contained surface physiological monitor with adhesive attachment |
US20090247894A1 (en) * | 2008-03-31 | 2009-10-01 | Brainscope Company, Inc. | Systems and Methods For Neurological Evaluation and Treatment Guidance |
USD603051S1 (en) * | 2008-07-18 | 2009-10-27 | BrainScope Company, Inc, | Flexible headset for sensing brain electrical activity |
USD641886S1 (en) * | 2010-03-10 | 2011-07-19 | Brainscope Company, Inc. | Flexible headset for sensing brain electrical activity |
USD647208S1 (en) * | 2011-01-06 | 2011-10-18 | Brainscope Company, Inc. | Flexible headset for sensing brain electrical activity |
Cited By (180)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11790393B2 (en) | 2007-03-29 | 2023-10-17 | Nielsen Consumer Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US10679241B2 (en) | 2007-03-29 | 2020-06-09 | The Nielsen Company (Us), Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US11250465B2 (en) | 2007-03-29 | 2022-02-15 | Nielsen Consumer Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous sytem, and effector data |
US10580031B2 (en) | 2007-05-16 | 2020-03-03 | The Nielsen Company (Us), Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US11049134B2 (en) | 2007-05-16 | 2021-06-29 | Nielsen Consumer Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US11244345B2 (en) | 2007-07-30 | 2022-02-08 | Nielsen Consumer Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US11763340B2 (en) | 2007-07-30 | 2023-09-19 | Nielsen Consumer Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US11488198B2 (en) | 2007-08-28 | 2022-11-01 | Nielsen Consumer Llc | Stimulus placement system using subject neuro-response measurements |
US10127572B2 (en) | 2007-08-28 | 2018-11-13 | The Nielsen Company, (US), LLC | Stimulus placement system using subject neuro-response measurements |
US10140628B2 (en) | 2007-08-29 | 2018-11-27 | The Nielsen Company, (US), LLC | Content based selection and meta tagging of advertisement breaks |
US20090264785A1 (en) * | 2008-04-18 | 2009-10-22 | Brainscope Company, Inc. | Method and Apparatus For Assessing Brain Function Using Diffusion Geometric Analysis |
US11382571B2 (en) | 2008-10-29 | 2022-07-12 | Flashback Technologies, Inc. | Noninvasive predictive and/or estimative blood pressure monitoring |
US20110172545A1 (en) * | 2008-10-29 | 2011-07-14 | Gregory Zlatko Grudic | Active Physical Perturbations to Enhance Intelligent Medical Monitoring |
US20110201962A1 (en) * | 2008-10-29 | 2011-08-18 | The Regents Of The University Of Colorado | Statistical, Noninvasive Measurement of Intracranial Pressure |
US11395634B2 (en) | 2008-10-29 | 2022-07-26 | Flashback Technologies, Inc. | Estimating physiological states based on changes in CRI |
US11395594B2 (en) | 2008-10-29 | 2022-07-26 | Flashback Technologies, Inc. | Noninvasive monitoring for fluid resuscitation |
US11406269B2 (en) | 2008-10-29 | 2022-08-09 | Flashback Technologies, Inc. | Rapid detection of bleeding following injury |
US11478190B2 (en) | 2008-10-29 | 2022-10-25 | Flashback Technologies, Inc. | Noninvasive hydration monitoring |
US11389069B2 (en) | 2008-10-29 | 2022-07-19 | Flashback Technologies, Inc. | Hemodynamic reserve monitor and hemodialysis control |
US8512260B2 (en) * | 2008-10-29 | 2013-08-20 | The Regents Of The University Of Colorado, A Body Corporate | Statistical, noninvasive measurement of intracranial pressure |
US9757041B2 (en) | 2008-10-29 | 2017-09-12 | Flashback Technologies, Inc. | Hemodynamic reserve monitor and hemodialysis control |
US10226194B2 (en) | 2008-10-29 | 2019-03-12 | Flashback Technologies, Inc. | Statistical, noninvasive measurement of a patient's physiological state |
US11857293B2 (en) | 2008-10-29 | 2024-01-02 | Flashback Technologies, Inc. | Rapid detection of bleeding before, during, and after fluid resuscitation |
US8977110B2 (en) | 2009-01-21 | 2015-03-10 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
US9826284B2 (en) | 2009-01-21 | 2017-11-21 | The Nielsen Company (Us), Llc | Methods and apparatus for providing alternate media for video decoders |
US9357240B2 (en) | 2009-01-21 | 2016-05-31 | The Nielsen Company (Us), Llc | Methods and apparatus for providing alternate media for video decoders |
US8955010B2 (en) | 2009-01-21 | 2015-02-10 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US8270814B2 (en) | 2009-01-21 | 2012-09-18 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
US20100186032A1 (en) * | 2009-01-21 | 2010-07-22 | Neurofocus, Inc. | Methods and apparatus for providing alternate media for video decoders |
US8464288B2 (en) | 2009-01-21 | 2013-06-11 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US8364254B2 (en) | 2009-01-28 | 2013-01-29 | Brainscope Company, Inc. | Method and device for probabilistic objective assessment of brain function |
US20100191139A1 (en) * | 2009-01-28 | 2010-07-29 | Brainscope, Inc. | Method and Device for Probabilistic Objective Assessment of Brain Function |
US11704681B2 (en) | 2009-03-24 | 2023-07-18 | Nielsen Consumer Llc | Neurological profiles for market matching and stimulus presentation |
US9408575B2 (en) | 2009-04-29 | 2016-08-09 | Bio-Signal Group Corp. | EEG kit |
US10321840B2 (en) | 2009-08-14 | 2019-06-18 | Brainscope Company, Inc. | Development of fully-automated classifier builders for neurodiagnostic applications |
US20110046473A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Eeg triggered fmri signal acquisition |
US20110047121A1 (en) * | 2009-08-21 | 2011-02-24 | Neurofocus, Inc. | Analysis of the mirror neuron system for evaluation of stimulus |
US8655437B2 (en) | 2009-08-21 | 2014-02-18 | The Nielsen Company (Us), Llc | Analysis of the mirror neuron system for evaluation of stimulus |
US20110046503A1 (en) * | 2009-08-24 | 2011-02-24 | Neurofocus, Inc. | Dry electrodes for electroencephalography |
US10987015B2 (en) | 2009-08-24 | 2021-04-27 | Nielsen Consumer Llc | Dry electrodes for electroencephalography |
US20110215931A1 (en) * | 2009-10-01 | 2011-09-08 | Mc10, Inc. | Methods and apparatus for assessing head trauma based on conformal sensing of force and/or change in motion of a person's head |
US20110087125A1 (en) * | 2009-10-09 | 2011-04-14 | Elvir Causevic | System and method for pain monitoring at the point-of-care |
US10269036B2 (en) | 2009-10-29 | 2019-04-23 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110106621A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Intracluster content management using neuro-response priming data |
US9560984B2 (en) | 2009-10-29 | 2017-02-07 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US8762202B2 (en) | 2009-10-29 | 2014-06-24 | The Nielson Company (Us), Llc | Intracluster content management using neuro-response priming data |
US11170400B2 (en) | 2009-10-29 | 2021-11-09 | Nielsen Consumer Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110105937A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Analysis of controlled and automatic attention for introduction of stimulus material |
US8209224B2 (en) | 2009-10-29 | 2012-06-26 | The Nielsen Company (Us), Llc | Intracluster content management using neuro-response priming data |
US11669858B2 (en) | 2009-10-29 | 2023-06-06 | Nielsen Consumer Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US10068248B2 (en) | 2009-10-29 | 2018-09-04 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US11481788B2 (en) | 2009-10-29 | 2022-10-25 | Nielsen Consumer Llc | Generating ratings predictions using neuro-response data |
US20110119124A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Multimedia advertisement exchange |
US8335715B2 (en) | 2009-11-19 | 2012-12-18 | The Nielsen Company (Us), Llc. | Advertisement exchange using neuro-response data |
US20110119129A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Advertisement exchange using neuro-response data |
US8335716B2 (en) | 2009-11-19 | 2012-12-18 | The Nielsen Company (Us), Llc. | Multimedia advertisement exchange |
US20110144520A1 (en) * | 2009-12-16 | 2011-06-16 | Elvir Causevic | Method and device for point-of-care neuro-assessment and treatment guidance |
WO2011112652A1 (en) * | 2010-03-10 | 2011-09-15 | Brainscope Company, Inc. | Method and device for removing eeg artifacts |
US9089310B2 (en) | 2010-03-10 | 2015-07-28 | Brainscope Company, Inc. | Method and device for removing EEG artifacts |
US8700141B2 (en) | 2010-03-10 | 2014-04-15 | Brainscope Company, Inc. | Method and apparatus for automatic evoked potentials assessment |
US20110224570A1 (en) * | 2010-03-10 | 2011-09-15 | Elvir Causevic | Method and apparatus for automatic evoked potentials assessment |
US8364255B2 (en) | 2010-03-10 | 2013-01-29 | Brainscope Company, Inc. | Method and device for removing EEG artifacts |
US20110224569A1 (en) * | 2010-03-10 | 2011-09-15 | Robert Isenhart | Method and device for removing eeg artifacts |
US20110237971A1 (en) * | 2010-03-25 | 2011-09-29 | Neurofocus, Inc. | Discrete choice modeling using neuro-response data |
US10248195B2 (en) | 2010-04-19 | 2019-04-02 | The Nielsen Company (Us), Llc. | Short imagery task (SIT) research method |
US11200964B2 (en) | 2010-04-19 | 2021-12-14 | Nielsen Consumer Llc | Short imagery task (SIT) research method |
US9454646B2 (en) | 2010-04-19 | 2016-09-27 | The Nielsen Company (Us), Llc | Short imagery task (SIT) research method |
US9336535B2 (en) | 2010-05-12 | 2016-05-10 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
US8655428B2 (en) | 2010-05-12 | 2014-02-18 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
US8392251B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Location aware presentation of stimulus material |
US8392250B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Neuro-response evaluated stimulus in virtual reality environments |
US8548852B2 (en) | 2010-08-25 | 2013-10-01 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US8396744B2 (en) | 2010-08-25 | 2013-03-12 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US8825128B2 (en) | 2010-08-27 | 2014-09-02 | General Electric Company | Sensor for measuring biosignals |
EP2422697A1 (en) * | 2010-08-27 | 2012-02-29 | General Electric Company | Sensor for measuring biosignals |
US11717210B2 (en) | 2010-09-28 | 2023-08-08 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US20120083688A1 (en) * | 2010-10-01 | 2012-04-05 | Purdue Research Foundation | Head injury diagnostics |
US10506936B2 (en) | 2010-12-30 | 2019-12-17 | University Of Cincinnati | Apparatuses and methods for neurologic status evaluation using electromagnetic signals |
US9357970B2 (en) | 2010-12-30 | 2016-06-07 | University Of Cincinnati | Apparatuses and methods for neurological status evaluation using electromagnetic signals |
WO2012092559A1 (en) * | 2010-12-30 | 2012-07-05 | University Of Cincinnati | Apparatuses and methods for neurological status evaluation using electromagnetic signals |
US10646132B2 (en) * | 2011-01-21 | 2020-05-12 | Lana Morrow | Electrode for attention training techniques |
US20150164362A1 (en) * | 2011-01-21 | 2015-06-18 | Fondamenta, Llc | Electrode for Attention Training Techniques |
US20150327775A1 (en) * | 2011-05-13 | 2015-11-19 | Parace, Llc | Medical examination apparatus |
WO2013012441A3 (en) * | 2011-07-21 | 2014-04-24 | Brian Kelleher | Method, system, and apparatus for cranial anatomy evaluation |
US9795362B2 (en) | 2011-07-21 | 2017-10-24 | Brian Kelleher | Method, system, and apparatus for cranial anatomy evaluation |
WO2013012441A2 (en) * | 2011-07-21 | 2013-01-24 | Brian Kelleher | Method, system, and apparatus for cranial anatomy evaluation |
US20130079618A1 (en) * | 2011-09-26 | 2013-03-28 | Nellcor Puritan Bennett Llc | Technique for remanufacturing a bis sensor |
US9220436B2 (en) * | 2011-09-26 | 2015-12-29 | Covidien Lp | Technique for remanufacturing a BIS sensor |
US20130200268A1 (en) * | 2011-09-28 | 2013-08-08 | Mc10, Inc. | Electronics for detection of a property of a surface |
CN103946680A (en) * | 2011-09-28 | 2014-07-23 | Mc10股份有限公司 | Electronics for detection of a property of a surface |
EP2814387A1 (en) * | 2012-01-18 | 2014-12-24 | BrainScope Company, Inc. | Method and device for multimodal neurological evaluation |
US20130204153A1 (en) * | 2012-02-06 | 2013-08-08 | Emily Ruth Buzhardt | Generating an alarm based on brain wave patterns of a user |
WO2013126798A3 (en) * | 2012-02-23 | 2013-12-27 | Bio-Signal Group Corp. | Shielded multi-channel eeg headset systems and methods |
US10188307B2 (en) | 2012-02-23 | 2019-01-29 | Bio-Signal Group Corp. | Shielded multi-channel EEG headset systems and methods |
US10881348B2 (en) | 2012-02-27 | 2021-01-05 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US9569986B2 (en) | 2012-02-27 | 2017-02-14 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US9451303B2 (en) | 2012-02-27 | 2016-09-20 | The Nielsen Company (Us), Llc | Method and system for gathering and computing an audience's neurologically-based reactions in a distributed framework involving remote storage and computing |
US9292858B2 (en) | 2012-02-27 | 2016-03-22 | The Nielsen Company (Us), Llc | Data collection system for aggregating biologically based measures in asynchronous geographically distributed public environments |
US20140051945A1 (en) * | 2012-03-12 | 2014-02-20 | Terra Cotta Star Llc | Expanded frequency electroencephalography/electrocardiography light apparatus and method of use |
US10779745B2 (en) | 2012-08-17 | 2020-09-22 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9060671B2 (en) | 2012-08-17 | 2015-06-23 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9215978B2 (en) | 2012-08-17 | 2015-12-22 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9907482B2 (en) | 2012-08-17 | 2018-03-06 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US8989835B2 (en) | 2012-08-17 | 2015-03-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US10842403B2 (en) | 2012-08-17 | 2020-11-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US10891313B2 (en) | 2012-09-28 | 2021-01-12 | The Regents Of The University Of California | Systems and methods for sensory and cognitive profiling |
US9886493B2 (en) | 2012-09-28 | 2018-02-06 | The Regents Of The University Of California | Systems and methods for sensory and cognitive profiling |
CN104902814A (en) * | 2012-10-12 | 2015-09-09 | 加利福尼亚大学董事会 | Configuration and spatial placement of frontal electrode sensors to detect physiological signals |
EP2906115A4 (en) * | 2012-10-12 | 2016-05-25 | Univ California | Configuration and spatial placement of frontal electrode sensors to detect physiological signals |
US10182736B2 (en) | 2012-10-12 | 2019-01-22 | The Regents Of The University Of California | Configuration and spatial placement of frontal electrode sensors to detect physiological signals |
US10258291B2 (en) | 2012-11-10 | 2019-04-16 | The Regents Of The University Of California | Systems and methods for evaluation of neuropathologies |
WO2014072582A1 (en) | 2012-11-12 | 2014-05-15 | Mega Electronics Ltd | Arrangement and method for carrying out electrode measurements |
US9770184B2 (en) | 2012-11-12 | 2017-09-26 | Bittium Biosignals Oy | Arrangement and method for carrying out electrode measurements |
US9282930B2 (en) | 2013-03-08 | 2016-03-15 | Brainscope Company, Inc. | Electrode array and method of placement |
CN105163656A (en) * | 2013-03-08 | 2015-12-16 | 脑仪公司 | Electrode array and method of placement |
US10219719B2 (en) | 2013-03-08 | 2019-03-05 | Brainscope Company, Inc. | Head-mounted electrode array |
US11730409B2 (en) * | 2013-03-08 | 2023-08-22 | Brainscope Company, Inc. | Head-mounted electrode array |
JP2016513490A (en) * | 2013-03-08 | 2016-05-16 | ブレインスコープ カンパニー, インコーポレイテッド | Electrode arrangement and installation method |
US8989836B2 (en) | 2013-03-08 | 2015-03-24 | Brainscope Company, Inc. | Electrode array and method of placement |
WO2014137549A1 (en) * | 2013-03-08 | 2014-09-12 | Brainscope Company, Inc. | Electrode array and method of placement |
USD773672S1 (en) | 2013-03-08 | 2016-12-06 | Brainscope Company, Inc. | Electrode headset |
US20210259608A1 (en) * | 2013-03-08 | 2021-08-26 | Brainscope Company, Inc. | Head-mounted electrode array |
US11026616B2 (en) | 2013-03-08 | 2021-06-08 | Brainscope Company, Inc. | Head-mounted electrode array |
US9877664B2 (en) | 2013-03-08 | 2018-01-30 | Brainscope Company, Inc. | Electrode array and method of placement |
AU2014226506B2 (en) * | 2013-03-08 | 2017-05-04 | Brainscope Company, Inc. | Electrode array and method of placement |
CN110720907A (en) * | 2013-03-08 | 2020-01-24 | 脑仪公司 | Electrode array and placement method |
US11076807B2 (en) | 2013-03-14 | 2021-08-03 | Nielsen Consumer Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9320450B2 (en) | 2013-03-14 | 2016-04-26 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9668694B2 (en) | 2013-03-14 | 2017-06-06 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US20170071495A1 (en) * | 2013-04-22 | 2017-03-16 | Personal Neuro Devices Inc. | Methods and devices for brain activity monitoring supporting mental state development and training |
EP2887693A1 (en) * | 2013-12-20 | 2015-06-24 | GN Store Nord A/S | A floating carrier assembly |
US9622703B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9622702B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US11141108B2 (en) | 2014-04-03 | 2021-10-12 | Nielsen Consumer Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9788746B2 (en) | 2014-07-23 | 2017-10-17 | Good Sleep Llc | Diagnostic testing headband |
EP2976995A1 (en) * | 2014-07-23 | 2016-01-27 | Good Sleep, LLC | Diagnostic testing headband |
US11717218B2 (en) | 2014-10-07 | 2023-08-08 | Masimo Corporation | Modular physiological sensor |
US10765367B2 (en) | 2014-10-07 | 2020-09-08 | Masimo Corporation | Modular physiological sensors |
WO2016057553A1 (en) * | 2014-10-07 | 2016-04-14 | Masimo Corporation | Modular physiological sensors |
USD765259S1 (en) | 2015-02-19 | 2016-08-30 | Brainscope Company, Inc. | Ear attachment for medical headset |
US10537702B2 (en) | 2015-05-07 | 2020-01-21 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
US9737683B2 (en) | 2015-05-07 | 2017-08-22 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
US9974924B2 (en) | 2015-05-07 | 2018-05-22 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
US10300240B2 (en) | 2015-05-07 | 2019-05-28 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
WO2016179272A1 (en) * | 2015-05-07 | 2016-11-10 | Aladdin Dreamer, Inc. | Lucid dream stimulator, systems, and related methods |
US9936250B2 (en) | 2015-05-19 | 2018-04-03 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
US11290779B2 (en) | 2015-05-19 | 2022-03-29 | Nielsen Consumer Llc | Methods and apparatus to adjust content presented to an individual |
US10771844B2 (en) | 2015-05-19 | 2020-09-08 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
US20180279944A1 (en) * | 2015-06-08 | 2018-10-04 | Atentiv Llc | Functional eeg montage for cognitive skill development |
WO2016200871A1 (en) * | 2015-06-08 | 2016-12-15 | Atentiv Llc | Functional eeg montage for cognitive skill development |
JP2018526047A (en) * | 2015-06-08 | 2018-09-13 | アテンティブ エルエルシー | Functional EGG montage for cognitive development |
WO2016210357A1 (en) * | 2015-06-24 | 2016-12-29 | Regents Of The University Of California | Flexible, non-invasive real-time hematoma monitoring system using near-infrared spectroscopy |
CN108135474A (en) * | 2015-06-24 | 2018-06-08 | 加利福尼亚大学董事会 | Utilize flexible, the noninvasive real-time hemotoncus monitoring system of near infrared spectroscopy |
WO2017083826A1 (en) * | 2015-11-13 | 2017-05-18 | Neurolutions, Inc. | Eeg headsets with precise and consistent electrode positioning |
US11241183B2 (en) | 2015-11-13 | 2022-02-08 | Neurolutions, Inc. | EEG headsets with precise and consistent electrode positioning |
US11607169B2 (en) | 2016-03-14 | 2023-03-21 | Nielsen Consumer Llc | Headsets and electrodes for gathering electroencephalographic data |
US10568572B2 (en) | 2016-03-14 | 2020-02-25 | The Nielsen Company (Us), Llc | Headsets and electrodes for gathering electroencephalographic data |
US10925538B2 (en) | 2016-03-14 | 2021-02-23 | The Nielsen Company (Us), Llc | Headsets and electrodes for gathering electroencephalographic data |
US10506974B2 (en) | 2016-03-14 | 2019-12-17 | The Nielsen Company (Us), Llc | Headsets and electrodes for gathering electroencephalographic data |
CN105997102A (en) * | 2016-05-10 | 2016-10-12 | 华南理工大学 | Wearable brain function detection device based on NIRS |
US10375464B2 (en) * | 2016-05-14 | 2019-08-06 | Qingdao GoerTeck Technology Co., Ltd. | Adjustable head-mounted structure |
WO2018031756A1 (en) * | 2016-08-11 | 2018-02-15 | Charles River Analytics, Inc. | PORTABLE, DURABLE, RUGGED, FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (fNIRS) SENSOR |
US11185230B2 (en) * | 2016-08-24 | 2021-11-30 | Raumedic Ag | Transmission apparatus for transmitting brain parameter sensor data |
GB2559984A (en) * | 2017-02-23 | 2018-08-29 | Plextek Services Ltd | Method, system, computer program and computer program product |
WO2018195497A1 (en) * | 2017-04-20 | 2018-10-25 | Gmeci, Llc | Human performance oxygen sensor |
US11723579B2 (en) | 2017-09-19 | 2023-08-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement |
US11717686B2 (en) | 2017-12-04 | 2023-08-08 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to facilitate learning and performance |
US11478603B2 (en) | 2017-12-31 | 2022-10-25 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11273283B2 (en) | 2017-12-31 | 2022-03-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11318277B2 (en) | 2017-12-31 | 2022-05-03 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
CN110234273A (en) * | 2018-01-04 | 2019-09-13 | 英特埃克森有限公司 | Wearable computing devices |
US11076797B2 (en) | 2018-04-10 | 2021-08-03 | Cerenetex, Inc. | Systems and methods for the identification of medical conditions, and determination of appropriate therapies, by passively detecting acoustic signals from cerebral vasculature |
US11364361B2 (en) | 2018-04-20 | 2022-06-21 | Neuroenhancement Lab, LLC | System and method for inducing sleep by transplanting mental states |
US11684305B2 (en) * | 2018-06-02 | 2023-06-27 | Seyedhesam Sadeghian-Motahar | Electrode array configuration on a flexible substrate for electro-oculogram recording |
US20190365272A1 (en) * | 2018-06-02 | 2019-12-05 | Seyedhesam Sadeghian-Motahar | Electrode array configuration on a flexible substrate for electro-oculogram recording |
US11272288B1 (en) * | 2018-07-19 | 2022-03-08 | Scaeva Technologies, Inc. | System and method for selective activation of an audio reproduction device |
US11452839B2 (en) | 2018-09-14 | 2022-09-27 | Neuroenhancement Lab, LLC | System and method of improving sleep |
US11918386B2 (en) | 2018-12-26 | 2024-03-05 | Flashback Technologies, Inc. | Device-based maneuver and activity state-based physiologic status monitoring |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
WO2023031457A3 (en) * | 2021-09-06 | 2023-05-19 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Electrode arrangement for measuring biopotentials on a person's head |
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